Bibliographic record
Abstract
Une évaluation a été menée en avril 2010 au musée d’Ixelles, à Bruxelles. Au moyen d’entretiens conduits à la sortie du musée, il s’agissait d’identifier et de comprendre les modes d’appropriation et le comportement des visiteurs envers le dispositif textuel dans deux expositions en cours, à savoir EL CUBISMO. Cubism and its Context from the Fundación Telefónica Art Collection et Henri de Toulouse-Lautrec : La collection complète des affiches . Si l’importance du texte en tant qu’aide à l’interprétation dans les musées est aujourd’hui largement reconnue, l’enquête qualitative a permis de développer une réflexion sur les spécificités de l’écrit quand il est confronté à des oeuvres d’art et sur ses fonctions dans la pratique de contemplation et d’interprétation chez les visiteurs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".